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Undergraduate Theses

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14578/5

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Degree: search.filters.degree.Bachelor of Science in Information TechnologySDG: search.filters.sdg.SDG 9 - Industry, innovation and infrastructure

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    Android-based classroom attendance monitoring system using QR technology with SMS notification
    Genobisa, Kenneth N. (Davao del Sur State College, 2024)
    This paper introduces an innovative Android-based classroom attendance monitoring system aimed at overcoming the limitations of traditional manual tracking methods within educational environments. By harnessing SMS notifications and QR codes, the system seeks to enhance both accuracy and efficiency. The system utilizes individual QR codes assigned to students to streamline attendance recording, eliminating the need for manual data entry and reducing errors. eliminating the need for manual data entry and reducing errors. Furthermore, automatic SMS notifications promptly update parents on their student's attendance status, thereby promoting transparency and communication between home and school. The study outlines the developmental objectives of various modules, including storing attendance data, scanning QR codes, managing user accounts, and generating reports. It emphasizes functionality, usability, and reliability in system design. The research's significance lies in its potential to enhance the effectiveness and transparency of attendance monitoring, benefiting school administrators, students, parents, and future researchers alike. Deployed initially at Alfredo Eugenio Sr. Elementary School, the system addresses challenges such as mobile network stability and device reliability, thereby contributing to advancements in educational technology and attendance management
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    Automated misting and android-based monitoring system for oyster mushroom (Pleurotus SP.) production
    Cabrera, Cedie Vince E. (Davao del Sur State College, 2024-06)
    This study was conducted to maintain optimal temperature and humidity, which is crucial for oyster mushroom growth; otherwise, it could impede mushroom development. An automated misting and Android-based monitoring system was developed to address this challenge. Other studies have used an automated mister; however, system monitoring is unavailable. Davao del Sur State College mushroom facility relies entirely on environmental temperature and humidity. The findings are as follows: A DHT11 sensor was used to read the temperature and humidity within a 5cm range from the sensor, spray mist when the DHT11 sensor detects a temperature of 28 degrees celsius and 72% relative humidity, HC04 Ultra-Sonic Sensor is used for water refill automation when the water reaches 7cm away from it, display humidity, temperature, and water level at 5 second intervals, and generate a graph based on average temperature, humidity, and water level calculated per month. The result of the study contributes to the agricultural aspects, specifically in mushroom farming, hence decreasing the farmer's workload and increasing the harvest yield, farming automation, and academic research. The research outcome is a foundation for new studies leading to a better understanding of farming with a more enhanced system for a better farming yield.